部分分布竞争风险模型及其在健康风险评估中的应用
Sub-distribution hazard model and its applications in health risk assessment

DOI: 10.6040/j.issn.1671-7554.0.2017.367

Keywords: 健康风险评估,竞争风险,Cox模型,部分分布竞争风险模型,
Health risk assessment,Cox model,Sub-distribution hazard model,Competing risks

Full-Text   Cite this paper   Add to My Lib

Abstract:

References

[1]	Lengeler C, Armstrong-Schellenberg J, D'alessandro U, et al. Relative versus absolute risk of dying reduction after using insecticide-treated nets for malaria control in Africa[J]. Trop Med Int Health, 1998, 3(4):286-290.
[2]	Malenka DJ, Baron JA, Johansen S, et al. The framing effect of relative and absolute risk[J]. J Gen Intern Med, 1993, 8(10):543-548.
[3]	Gail MH. Personalized estimates of breast cancer risk in clinical practice and public health[J]. Stat Med, 2011, 30(10):1090-1104.
[4]	Prentice RL, Kalbfleisch JD, Peterson Jr AV, et al. The analysis of failure times in the presence of competing risks[J]. Biometrics, 1978, 34(4):541-554.
[5]	Cox DR. Regression models and life-tables[J]. J R Stat Soc, 1972, 34(2):187-220.
[6]	Shen Q, Jin B, Min J, et al. Cox model and its application to prognostic analysis of malignant melanoma[J]. Journal of Nanjing Railway Medical College, 1987, 2(9):871-879.
[7]	Beyersmann J, Dettenkofer M, Bertz H, et al. A competing risks analysis of bloodstream infection after stem-cell transplantation using subdistribution hazards and cause-specific hazards[J]. Stat Med, 2007, 26(30):5360-5369.
[8]	Grambauer N, Schumacher M, Beyersmann J. Proportional subdistribution hazards modeling offers a summary analysis, even if misspecified[J]. Stat Med, 2010, 29(7-8):875-884.
[9]	Katsahian S, Resche-Rigon M, Chevret S, et al. Analysing multicentre competing risks data with a mixed proportional hazards model for the subdistribution[J]. Stat Med, 2006, 25(24): 4267-4278.
[10]	Tomaselli, Gordon F. Prevention of cardiovascular disease and stroke: meeting the challenge[J]. JAMA, 2011, 306(19):2147-2148.
[11]	Pendlebury, Sarah T, Peter M. Prevalence, incidence, and factors associated with pre-stroke and post-stroke dementia: a systematic review and meta-analysis[J]. Lancet Neurol, 2009, 8(11):1006-1018.
[12]	Plummer M. Improved estimates of floating absolute risk[J]. Stat Med, 2004, 23(1):93-104.
[13]	Fine JP, Gray RJ. A proportional hazards model for the subdistribution of a competing risk[J]. JASA, 1999, 94(446):496-509.
[14]	Gamel JW, McLean IW, Greenberg RA. Interval-by-interval cox model analysis of 3680 cases of intraocular melanoma shows a decline in the prognostic value of size and cell type over time after tumor excision[J]. Cancer, 1988, 61(3):574-579.
[15]	Therneau TM. Proceedings of the first Seattle symposium in biostatistics: survival analysis[J]. 1997: 51-84. doi:10.1007/978-1-4684-6316-3
[16]	Chevret S. Logistic or Cox model to identify risk factors of nosocomial infection: still a controversial issue[J]. Intensive Care Med, 2001, 27(10):1559-1560.
[17]	Guo X, Chen M, Ding L, et al. Application of Cox model in coagulation function in patients with primary liver cancer[J]. Hepatogastroenterology, 2010, 58(106):326-330.
[18]	Fine JP, Gray RJ. A proportional hazards model for the subdistribution of a competing risk[J]. JASA, 1999, 94(446):496-509.
[19]	Easton DF, Peto J, Babiker AG. Floating absolute risk: an alternative to relative risk in survival and case-control analysis avoiding an arbitrary reference group[J]. Stat Med, 1991, 10(7):1025-1035.
[20]	Gray RJ. A class of K-sample tests for comparing the cumulative incidence of a competing risk[J]. Ann Stat, 1988, 16(3):1141-1154.
[21]	Li W, Xue X, Long Y. An additive subdistribution hazards model for competing risks data[J]. Commun Stat Theory Methods, 2017. doi:10.1080103610926.2.16.1277759.
[22]	Ruan PK, Gray RJ. Analyses of cumulative incidence functions via non-parametric multiple imputation[J]. Stat Med, 2008, 27(27):5709-5724.
[23]	Allignol A, Beyersmann J. Software for fitting nonstandard proportional subdistribution hazards models[J]. Biostatistics, 2010, 11(4):674-675.
[24]	Kinlay S. Changes in stroke epidemiology, prevention, and treatment[J]. Circulation, 2011, 124(19): 494-496.
[25]	Jia Q Liu L, Wang Y. Risk factors and prevention of stroke in the Chinese population[J]. J Stroke Cerebrovasc Dis, 2011, 20(5):395-400.
[26]	Seshadri S, Wolf PA. Lifetime risk of stroke and dementia: current concepts, and estimates from the Framingham Study[J]. Lancet Neurol, 2007, 6(12):1106-1114.
[27]	Zhou B, Fine J, Laird G. Goodness-of-fit test for proportional subdistribution hazards model[J]. Stat Med, 2013, 32(22):3804-3811.
[28]	Therneau T. A package for survival analysis in S. version 2.38; 2015[CP/OL]. URL:http://cran. r-project. org/web/packages/survival/index. html[accessed 2016-06-17] [WebCite Cache ID 6iKkaCcfO] , 2016.
[29]	de Wreede LC, Fiocco M, Putter H. Mstate:an R package for the analysis of competing risks and multi-state models[J]. J Stat Softw, 2011, 38(7):1-30.
[30]	Gray RJ. Modeling survival data: extending the Cox model[J]. JASA, 2002, 44(457):85-86.
[31]	Halpern MT, Gillespie BW, Warner KE. Patterns of absolute risk of lung cancer mortality in former smokers[J]. J Natl Cancer Inst, 1993, 85(6):457-464.
[32]	Beyersmann J, Schumacher M. Time-dependent covariates in the proportional subdistribution hazards model for competing risks[J]. Biostatistics, 2008, 9(4):765-776.
[33]	Putter H, Fiocco M, Geskus RB. Tutorial in biostatistics: competing risks and multi-state models[J]. Stat Med, 2007, 26(11):2389-2430.
[34]	De Wreede LC, Fiocco M, Putter H. The mstate package for estimation and prediction in non-and semi-parametric multi-state and competing risks models[J]. Comput Methods Programs Biomed, 2010, 99(3):261-274.

Full-Text